Zobrazeno 1 - 10
of 28
pro vyhledávání: '"P C Okolie"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-2024, Pp 315-320 (2024)
The correction of digital elevation models (DEMs) can be achieved using a variety of techniques. Machine learning and statistical methods are broadly applicable to a variety of DEM correction case studies in different landscapes. However, a literatur
Externí odkaz:
https://doaj.org/article/07fcd8d01b284ee9968559d9c96e5ab7
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-2-2024, Pp 179-183 (2024)
Gradient-Boosted Decision Trees (GBDTs), particularly when tuned with Bayesian optimisation, are powerful machine learning techniques known for their effectiveness in handling complex, non-linear data. However, the performance of these models can be
Externí odkaz:
https://doaj.org/article/5d521a829f1f4c3e932b26fa2dab42d4
Autor:
Collins C. Okolie, Oluwasola T. Ogunleye, Gideon Danso-Abbeam, Abiodun A. Ogundeji, Ágoston Restás
Publikováno v:
Environmental and Sustainability Indicators, Vol 23, Iss , Pp 100451- (2024)
Climate change threatens smallholder farmers' productivity, revenue generation, and increases household food insecurity. Thus, adaptation and coping strategies are paramount for smallholder farming households to mitigate these impacts of climate chan
Externí odkaz:
https://doaj.org/article/d98763c3275242f0851b2e449120193f
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W9-2024, Pp 275-282 (2024)
The accuracy of digital elevation models (DEMs) in urban areas is influenced by numerous factors including land cover and terrain irregularities. Moreover, building artefacts in global DEMs cause artificial blocking of surface flow pathways. This com
Externí odkaz:
https://doaj.org/article/22f570cce7b1491daf494525419204c5
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-3-2023, Pp 161-168 (2023)
Gradient boosted decision trees (GBDTs) have repeatedly outperformed several machine learning and deep learning algorithms in competitive data science. However, the explainability of GBDT predictions especially with earth observation data is still an
Externí odkaz:
https://doaj.org/article/9b7a9ee1618a40659552a645cb134450
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-3-2023, Pp 155-160 (2023)
African cities are growing fast, and this rapid urbanisation has tremendously increased air pollution and greenhouse gas emissions. Despite this disturbing reality, the deleterious impacts of air pollution on livelihoods and the environment are often
Externí odkaz:
https://doaj.org/article/c3b5d06e56094902af200d071bdcd134
Autor:
Makobi C. Okolie, Glory G. Ollordaa, Gopal R. Ramidi, Xin Yan, Yufeng Quan, Qingsheng Wang, Yingchun Li
Publikováno v:
Nanomaterials, Vol 14, Iss 17, p 1402 (2024)
Graphitic carbon nitride is a semiconducting material of a graphite-like 2D layered structure. It is well known for its photocatalytic properties, which can be exploited for solar-light-driven water splitting and degradation of organic pollutants. He
Externí odkaz:
https://doaj.org/article/7baa56a83beb44d8bbaeb521dfc90922
Autor:
Ugo C. Okolie, Jude N. Memeh
Publikováno v:
RUDN Journal of Public Administration, Vol 9, Iss 3, Pp 316-331 (2022)
Understanding the individual and organizational consequences of breach of psychological contract justifies continuing research into the phenomenon. The global competition which has altered business environment has engineered the need for organization
Externí odkaz:
https://doaj.org/article/842bb8ab2d97421783998613a5eae11e
Publikováno v:
Climate Services, Vol 30, Iss , Pp 100371- (2023)
As a result of climatically regulated water sources, smallholder farming households in South Africa are severely impacted by climate change. Using the Livelihood Vulnerability Index, we assessed the vulnerability of smallholder farming households to
Externí odkaz:
https://doaj.org/article/ad289fa1d2dc41d8ae8564f08155c619
Autor:
Collins C. Okolie, Abiodun A. Ogundeji
Publikováno v:
Humanities & Social Sciences Communications, Vol 9, Iss 1, Pp 1-13 (2022)
Abstract Coronavirus disease has created an unexpected negative situation globally, impacting the agricultural sector, economy, human health, and food security. This study examined research on COVID-19 in relation to agricultural production and food
Externí odkaz:
https://doaj.org/article/cddecebf771d4d74a99645b66a4014d8